Stream-stream self joins does not work

val df = spark.readStream.format("rate").option("numRowsPerSecond", "1").option("numPartitions", "1").load()
display(df.withColumn("key", $"value" / 10).join(df.withColumn("key", $"value" / 5), "key"))

Failure when resolving conflicting references in Join:
'Join UsingJoin(Inner,List(key))
:- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(10 as double)) AS key#855]
: +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
+- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(5 as double)) AS key#860]
 +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]

Conflicting attributes: timestamp#850,value#851L
;;
'Join UsingJoin(Inner,List(key))
:- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(10 as double)) AS key#855]
: +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]
+- Project [timestamp#850, value#851L, (cast(value#851L as double) / cast(5 as double)) AS key#860]
 +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@7f1d2a68,rate,List(),None,List(),None,Map(numPartitions -> 1, numRowsPerSecond -> 1),None), rate, [timestamp#850, value#851L]

at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:39)
 at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:101)
 at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:378)
 at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:98)
 at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:148)
 at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:98)
 at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:101)
 at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:71)
 at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:73)
 at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withPlan(Dataset.scala:3063)
 at org.apache.spark.sql.Dataset.join(Dataset.scala:787)
 at org.apache.spark.sql.Dataset.join(Dataset.scala:756)
 at org.apache.spark.sql.Dataset.join(Dataset.scala:731)